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arsen7076
/
river_retriver_416data_v3

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use arsen7076/river_retriver_416data_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use arsen7076/river_retriver_416data_v3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("arsen7076/river_retriver_416data_v3")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
river_retriver_416data_v3
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
arsen7076's picture
arsen7076
Upload folder using huggingface_hub
86c5719 verified about 2 months ago
  • 1_Pooling
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  • .gitattributes
    1.57 kB
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  • README.md
    2.55 kB
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  • config.json
    741 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    1.11 GB
    xet
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  • model_weights.pkl

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    127 MB
    xet
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  • modules.json
    429 Bytes
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    574 Bytes
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